| Signal | ALLaM 7B Instruct (preview) | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 17 | -67 | |
Pricing | 100 | +0 | |
Context window size | 57 | -38 | |
Recency | 56 | -44 | |
Output Capacity | 60 | -20 | |
Benchmarks | 0 | -67 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
40
current score
Qwen3.5-Flash
right now
68.9
current score
HUMAIN
Alibaba
ALLaM 7B Instruct (preview) saves you $19.50/month
That's $234.00/year compared to Qwen3.5-Flash at your current usage level of 100K calls/month.
| Metric | ALLaM 7B Instruct (preview) | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 40 | 69 | Qwen3.5-Flash |
| Rank | #293 | #100 | Qwen3.5-Flash |
| Quality Rank | #293 | #100 | Qwen3.5-Flash |
| Adoption Rank | #293 | #100 | Qwen3.5-Flash |
| Parameters | 7B | -- | -- |
| Context Window | 4K | 1000K | Qwen3.5-Flash |
| Pricing | Free | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 83 | Qwen3.5-Flash |
| Pricing | 100 | 100 | ALLaM 7B Instruct (preview) |
| Context window size | 57 | 95 | Qwen3.5-Flash |
| Recency | 56 | 100 | Qwen3.5-Flash |
| Output Capacity | 60 | 80 | Qwen3.5-Flash |
| Benchmarks | -- | 67 | Qwen3.5-Flash |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #293), placing it in the top -1% of all 290 models tracked.
Scores 69/100 (rank #100), placing it in the top 66% of all 290 models tracked.
Qwen3.5-Flash has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Compare the cost per quality point to find the best value for your specific workload.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. ALLaM 7B Instruct (preview) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3.5-Flash clearly outperforms ALLaM 7B Instruct (preview) with a significant 28.900000000000006-point lead. For most general use cases, Qwen3.5-Flash is the stronger choice. However, ALLaM 7B Instruct (preview) may still excel in niche scenarios.
Best for Quality
ALLaM 7B Instruct (preview)
Marginally better benchmark scores; both are excellent
Best for Cost
ALLaM 7B Instruct (preview)
100% lower pricing; better value at scale
Best for Reliability
ALLaM 7B Instruct (preview)
Higher uptime and faster response speeds
Best for Prototyping
ALLaM 7B Instruct (preview)
Stronger community support and better developer experience
Best for Production
ALLaM 7B Instruct (preview)
Wider enterprise adoption and proven at scale
by HUMAIN
| Capability | ALLaM 7B Instruct (preview) | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
HUMAIN
Alibaba
ALLaM 7B Instruct (preview) saves you $0.4290/month
That's 100% cheaper than Qwen3.5-Flash at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | ALLaM 7B Instruct (preview) | Qwen3.5-Flash |
|---|---|---|
| Context Window | 4K | 1M |
| Max Output Tokens | 4,096 | 65,536 |
| Open Source | Yes | No |
| Created | Feb 13, 2025 | Feb 25, 2026 |